Feature Learning and Understanding: Algorithms and Applications Author
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Bester Preis: Fr. 7.09 (€ 7.25)¹ (vom 01.02.2020)1
Feature Learning and Understanding
~EN HC NW
ISBN: 9783030407933 bzw. 3030407934, vermutlich in Englisch, Springer Shop, gebundenes Buch, neu.
Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, Lagernd, zzgl. Versandkosten.
This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence. Hard cover.
This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence. Hard cover.
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Feature Learning and Understanding: Algorithms and Applications Haitao Zhao Author
~EN HC NW
ISBN: 9783030407933 bzw. 3030407934, vermutlich in Englisch, Springer International Publishing, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten.
Feature Learning and Understanding,Haitao Zhao.
Feature Learning and Understanding,Haitao Zhao.
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